Senior Security Engineer - Cloud & AI Protection Technology

At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed.  We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One.

Job Description

Implements and supports security solutions and technologies to protect cloud and Artificial Intelligence (AI) assets from unauthorized access, use, disclosure, destruction, modification, or disruption. Provides project leadership, security oversight, and risk management on security projects. Sets security design guidelines, frameworks, and models. Works to identify new security issues and risks and is involved in developing mitigation plans. Helps identify and document security objectives. Participates in projects that develop new intellectual property. Trains/mentors members of the team. Builds relationships and trust across the organization. Evaluates and recommends new and emerging security products and technologies, focusing on the latest threats in the cloud and AI landscape.

The role offers a hybrid/flexible schedule, which means there’s an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days at one of the following locations:

• Minneapolis, MN
• Cincinnati, Ohio
• Charlotte, NC
• Irving, TX

Basic Qualifications:

• Typically a Bachelor's degree, or equivalent work experience
• Typically five or more years of relevant experience
• Advanced technical and functional subject matter expert knowledge across security domain areas

• Are you a Cloud Professional that is excited about Cloud Engineering and Security in the cloud?
• Do you have a passion to protect again AI-focused threats, while using AI to scale?
• Do you enjoy automating cloud capabilities and security controls, making the process more efficient and secure through automation and standardization across multi-cloud environments?

U.S. Bank is ramping up its cloud and AI initiatives – this is an outstanding opportunity and time to join a fantastic, dynamic, growing, distributed team, where collaboration and dedication are essential. There is a lot of exciting work to be done in the coming years, and the selected candidate will be part of the U.S. Bank Security Technology Engineering & Operations (STEO) cloud team. This information security engineer will help cloud-focused security architects design, standardize, automate, and ultimately put the solutions into production and maintain their efficacy throughout the lifecycle.

Responsibilities:

The candidate selected for this role will help deliver security controls within AWS and Azure to effectively manage risk within U.S. Bank’s information security practice, as part of the STO cloud team:

• Following best practices and cybersecurity frameworks
• Deploy and operationalize security technologies against cloud- and AI-focused threats.
• Ensuring continuous utility and complete coverage of cloud security controls.
• Securing resources and AI workloads in the cloud.
• Finding areas of improvement for cloud security controls and related performance.
• Continuous tuning, ongoing integration, feature expansion, reporting, validation, and monitoring of cloud security controls
• Know the regulatory landscape for public cloud and the implementation patterns required to be compliant.
• Collaborate with the Security Operations Center and Incident Response teams to continuously improve the ability to rapidly detect, contain, investigate, eradicate, and recover from security incidents.

The ideal candidate has a well-rounded and highly technical background with a strong understanding of operating security technologies, Kubernetes, containerization, automation, and cloud best practices.

• Strong understanding of cloud security fundamentals and technologies in AWS and/or Azure.
• Experience in deploying cloud-native and third-party technologies to secure cloud platforms and workloads in AWS and/or Azure.
• Technical experience with networks, operating systems, applications, and other aspects of information technology architecture
• Experience with threat and anomaly protection, focusing on cloud and AI workloads.
• Experience with automation of manual tasks, including scripting skills in Python and/or Terraform.
• Experience with Docker, Jenkins, Terraform, and/or Kubernete